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학술논문대한안전경영과학회지2009.09 발행

Lean Six Sigma 기반의 물류 프로세스 개선 방법론

A study on The Process Improvement of Logistics based on The Lean Six Sigma Methodology

남호기(인천대학교); 박상민(인천대학교)

11권 3호, 121~129쪽

초록

Today, many companies will be isolated in competition if they do not have competitive power to overcome quick change and big crisis of market. Nowadays, globally high-grade companies have done their best for increasing their competitive power through a many kinds of methods in keen competition for making of pacesetting position. This study focuses on distribution with the domains like capacity, layout, amount of location, assignment of product, operation procedure and operation rule in order to improve these domains, we make a further application of eight analysis ways based on DMAIC method for improving operation of processes of distribution center as the third profit source. The purpose of this study is to seek an approach that can easily adopt of Lean Six Sigma in operational management of distribution center by a kind of data, analysis method and template.

Abstract

Today, many companies will be isolated in competition if they do not have competitive power to overcome quick change and big crisis of market. Nowadays, globally high-grade companies have done their best for increasing their competitive power through a many kinds of methods in keen competition for making of pacesetting position. This study focuses on distribution with the domains like capacity, layout, amount of location, assignment of product, operation procedure and operation rule in order to improve these domains, we make a further application of eight analysis ways based on DMAIC method for improving operation of processes of distribution center as the third profit source. The purpose of this study is to seek an approach that can easily adopt of Lean Six Sigma in operational management of distribution center by a kind of data, analysis method and template.

발행기관:
대한안전경영과학회
분류:
안전공학

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Lean Six Sigma 기반의 물류 프로세스 개선 방법론 | 대한안전경영과학회지 2009 | AskLaw | 애스크로 AI